Package: DSWE 1.8.4

Yu Ding

DSWE: Data Science for Wind Energy

Data science methods used in wind energy applications. Current functionalities include creating a multi-dimensional power curve model, performing power curve function comparison, covariate matching, and energy decomposition. Relevant works for the developed functions are: funGP() - Prakash et al. (2022) <doi:10.1080/00401706.2021.1905073>, AMK() - Lee et al. (2015) <doi:10.1080/01621459.2014.977385>, tempGP() - Prakash et al. (2022) <doi:10.1080/00401706.2022.2069158>, ComparePCurve() - Ding et al. (2021) <doi:10.1016/j.renene.2021.02.136>, deltaEnergy() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, syncSize() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, imptPower() - Latiffianti et al. (2022) <doi:10.1002/we.2722>, All other functions - Ding (2019, ISBN:9780429956508).

Authors:Nitesh Kumar [aut], Abhinav Prakash [aut], Yu Ding [aut, cre], Effi Latiffianti [ctb, cph], Ahmadreza Chokhachian [ctb, cph]

DSWE_1.8.4.tar.gz
DSWE_1.8.4.tar.gz(r-4.7-arm64)DSWE_1.8.4.tar.gz(r-4.7-x86_64)DSWE_1.8.4.tar.gz(r-4.6-arm64)DSWE_1.8.4.tar.gz(r-4.6-x86_64)
DSWE_1.8.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
DSWE/json (API)

# Install 'DSWE' in R:
install.packages('DSWE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/tamu-aml/dswe-package/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • data1 - Wind Energy data set containing 47,542 data points
  • data2 - Wind Energy data set containing 48,068 data points

On CRAN:

Conda:

openblascpp

1.30 score 1 scripts 208 downloads 1 mentions 16 exports 81 dependencies

Last updated from:e23c236ef0. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK234
linux-devel-x86_64OK212
source / vignettesOK244
linux-release-arm64OK226
linux-release-x86_64OK220
wasm-releaseOK155

Exports:AMKComparePCurveComputeWeightedDifferenceCovMatchdeltaEnergyfunGPimptPowerKnnPCFitKnnPredictKnnUpdateSplinePCFitSvmPCFitsyncSizetempGPupdateDataXgbPCFit

Dependencies:askpassbase64encbslibcachemclassclicpp11crosstalkcurldata.tabledigestdplyre1071evaluatefarverfastmapFNNfontawesomefsgenericsggplot2gluegssgtablehighrhtmltoolshtmlwidgetshttrisobandjquerylibjsonlitekernlabKernSmoothknitrlabelinglaterlatticelazyevallifecyclemagrittrMASSMatrixmatrixStatsmemoisemimemixtoolsnlmeopensslotelpillarpkgconfigplotlypromisesproxypurrrR6rappdirsRColorBrewerRcppRcppArmadillorlangrmarkdownS7sassscalessegmentedstringistringrsurvivalsystibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxgboostyaml